AI exposure by occupation, O*NET 11-9071.00

Will AI replace Gambling Managers?

Gambling Managers: AI can already handle 17 of 19 tasks; the work mostly needs a frontier-tier model.

Have a team in this role?

Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.

Every task, scored

The 19 tasks O*NET 30.3 lists for Gambling Managers, from most to least exposed. 17 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Resolve customer complaints regarding problems, such as payout errors. 75 Estimated Efficient 4.6
Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor. 75 Estimated Efficient 4.5
Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating. 75 Estimated Standard 4.4
Track supplies of money to tables and perform any required paperwork. 75 Estimated Standard 4.4
Prepare work schedules and station arrangements and keep attendance records. 75 Estimated Efficient 4.3
Monitor staffing levels to ensure that games and tables are adequately staffed for each shift, arranging for staff rotations and breaks and locating substitute employees as necessary. 75 Estimated Frontier 4.3
Direct the compilation of summary sheets that show wager amounts and payoffs for races or events. 75 Estimated Standard 4.3
Market or promote the casino to bring in business. 75 Estimated Frontier 4.2
Record, collect, or pay off bets, issuing receipts as necessary. 75 Estimated Frontier 4.2
Interview and hire workers. 75 Estimated Efficient 4.2
Direct the distribution of complimentary hotel rooms, meals, or other discounts or free items given to players, based on their length of play and betting totals. 75 Estimated Frontier 4.1
Notify board attendants of table vacancies so that waiting patrons can play. 75 Estimated Standard 4.1
Establish policies on issues, such as the type of gambling offered and the odds, the extension of credit, or the serving of food and beverages. 75 Estimated Frontier 4.0
Monitor credit extended to players. 75 Estimated Frontier 3.9
Explain and interpret house rules, such as game rules or betting limits. 65 Estimated Standard 4.4
Train new workers or evaluate their performance. 65 Estimated Standard 4.2
Review operational expenses, budget estimates, betting accounts, or collection reports for accuracy. 65 Estimated Standard 4.2
Set and maintain a bank and table limit for each game. 20 Estimated Standard 4.4
Maintain familiarity with all games used at a facility, as well as strategies or tricks employed in those games. 20 Estimated Efficient 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 19 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 19 of 19. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
5,030
Median annual wage
$93,220
Middle half of earners
$72,570 to $122,990
Projected change, 2024 to 2034
+1.2%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Gambling Managers and AI

Will AI replace Gambling Managers?

AI already handles 17 of the 19 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 68 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.2% from 2024 to 2034.

What is the AI exposure of Gambling Managers?

68 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 19 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 19 are estimated from each task's O*NET work activity.

Which Gambling Managers tasks can AI already do?

The tasks with the highest exposure are: Resolve customer complaints regarding problems, such as payout errors; Remove suspected cheaters, such as card counters or other players who may have systems that shift the odds of winning to their favor; Circulate among gaming tables to ensure that operations are conducted properly, that dealers follow house rules, or that players are not cheating. They are three of the 17 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Gambling Managers, and what do they earn?

5,030 people in the United States, with a median annual wage of $93,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.2% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Gambling Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/gambling-managers

Have a team in this role?

Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.

A founder replies within one business day.